Taipei, Taiwan

Hao-Ping Kang


Average Co-Inventor Count = 3.1

ph-index = 1

Forward Citations = 12(Granted Patents)


Company Filing History:


Years Active: 2014-2019

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4 patents (USPTO):Explore Patents

Title: Innovations of Hao-Ping Kang

Introduction

Hao-Ping Kang is a notable inventor based in Taipei, Taiwan. He has made significant contributions to the field of technology, particularly in methods related to facial recognition and data encoding. With a total of 4 patents to his name, his work continues to influence advancements in these areas.

Latest Patents

Hao-Ping Kang's latest patents include a "Method and device for recognizing facial expressions." This innovative method involves recognizing expression categories from multiple face images and obtaining recognition results between different expression categories. It classifies these categories into groups based on similarities and trains recognition models to enhance accuracy in facial expression classification. Another significant patent is the "Method and apparatus for scheduling encoding of streaming data." This method optimizes the encoding process by utilizing idle hardware encoders to efficiently manage streaming data, ensuring that frames are encoded based on their reception rates.

Career Highlights

Throughout his career, Hao-Ping Kang has worked with esteemed organizations such as the Industrial Technology Research Institute and the Institute for Information Industry. His experience in these institutions has allowed him to develop and refine his innovative ideas, contributing to the technological landscape.

Collaborations

Hao-Ping Kang has collaborated with notable colleagues, including Chih-Chung Kao and Jia-Hua Wu. These partnerships have fostered a collaborative environment that encourages the exchange of ideas and advancements in their respective fields.

Conclusion

Hao-Ping Kang's contributions to technology through his patents and collaborations highlight his role as an influential inventor. His work in facial recognition and data encoding continues to pave the way for future innovations.

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